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Big Data / Cloud Enablement Senior Manager - Data Delivery

Chicago, IL, USA | Deloitte Consulting

  • Industry:
    Management Consulting
  • Position Type:
    Full-Time
  • Functions:
    Consulting - IT
  • Experience:
    10-12 years
Job Description:
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As a Big Data/Cloud Enablement Senior Manager you will focus on managing the information supply chain from acquisition to ingestion, storage and the provisioning of data to points of impact by modernizing and enabling new capabilities. Information value is enhanced through enterprise-scale applications that enable visualization, consumption and monetization of both structured and unstructured data. Big data is becoming one of the most important technology trends that has the potential for dramatically changing the way organizations use information to enhance the customer experience and transform their business models.


Work you'll do


Senior Managers are expected to contribute to the firm's growth and development in a variety of ways, including:


Engagement Management:Lead engagement planning and budgeting; mobilize and manage engagement teams; define deliverable structure and content; facilitate buy-in of proposed solutions from top management levels at the client; direct on-time, quality delivery of work products; manage engagement economics; manage engagement risk


Client Management:Manage day to day interactions with executive clients and sponsors


Business Development: Develop and maintain contact with top decision makers at key clients; organize and lead pursuit teams; participate and lead aspects of the proposal development process; contribute to the development of proposal pricing strategies


Practice Development & Eminence:Develop practical solutions and methodologies; develop "thoughtware" and "point-of-view" documents; participate in public speaking events; get published in industry periodicals


People Development:Perform role of counselor and coach; provide input and guidance into the staffing process; actively participate in staff recruitment and retention activities; provide leadership and support for delivery teams and staff in local offices


The Team


Analytics & Cognitive


In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.


The Analytics & Cognitive team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.


Analytics & Cognitive will work with our clients to:


Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms


Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions


Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements


Qualifications


Required:


10+ years of relevant technology architecture consulting or industry experience to include Information delivery, Analytics and Business Intelligence based on data from hybrid of Hadoop Distributed File System (HDFS), non-relational (NoSQL, MongoDB, Cassandra) and relational Data Warehouses.


3+ years of hands on experience with data lake implementations, core modernization and data ingestion.


1+ years of hands on experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)


At least 3 years hands on working experience withBig data technologies; MapReduce, Pig, Hive, HBase, Sqoop, Spark, Flume, YARN, Kafka, Storm etc.


Experience working with commercial distributions of HDFS (Hortonworks, Cloudera, Pivotal HD, MapR)


1+ years of hands on experience designing and implementing data ingestion techniques for real time and batch processes for video, voice, weblog, sensor, machine and social media data into Hadoop ecosystems and HDFS clusters.


1+ years of hands on experience with data integration products like Informatica Power Center Big Data Edition (BDE), IBM BigInsights, Talend etc.


Demonstrated experience driving both the sales cycle by taking the lead in framing out client opportunities and leading the pursuit team to create the proposal content for client discussions


Bachelor’s Degree or 4 years equivalent professional experience


Ability to travel 80-100% of the time (Monday – Thursday/Friday)


Preferred:


AWS Certification, Hadoop Certification or Spark Certification


Knowledge and usage of the platform is essential. Not only knowledge of the architecture, but able to get clients to the cloud using the tools and provide an explanation to clients


Experience designing and implementing reporting and visualization for unstructured and structured data sets


Experience in designing and implementing scalable, distributed systems leveraging cloud computing technologies like AWS EC2, AWS Elastic Map Reduce and Microsoft Azure


Experience designing and developing data cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching


Knowledge of data, master data and metadata related standards, processes and technology


Experience working with multi-Terabyte data sets


Experience with Data Integration on traditional and Hadoop environments


Ability to work independently, manage small engagements or parts of large engagements.


Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).


Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.


An advanced degree in the area of specialization is preferred.


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